An Integrative Single-Cell Epigenomic Atlas Annotates the Regulatory Genome of the Adult Mouse Brain

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Authors: Zhaoning Wang, Songpeng Zu, Ethan J. Armand, Timothy H. Loe, Jonathan A. Rink, Wanying Wu, Yang Xie, Lei Chang, Chenxu Zhu, Nicholas D. Johnson, Jasper Lee, Jackson K. Willier
+16 more Silvia Cho, Stella Maris Cao, Ariana S. Barcoma, Nora Emerson, Hanqing Liu, Kangli Wang, Bharath Saravanan, Zane A. Gibbs, Xiaomeng Gao, Sunan Xu, David Guo, Zhuowen Tu A, Yang Eric Li, Joseph R. Ecker, Bing Ren, Bing Ren
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References: 139

Abstract

SUMMARY Histone modifications underpin the cell-type-specific gene regulatory programs that drive the remarkable cellular diversity of the mammalian brain. Here, we jointly profiled four histone modifications and the transcriptome in 2.5 million nuclei from the adult mouse brain. By integrating these data with chromatin accessibility, DNA methylation, and three-dimensional genome organization, we constructed a unified epigenomic atlas spanning over 100 brain cell subclasses, and assigned active, primed, and repressive chromatin states across 81% of the genome. Active chromatin states marked by combinatorial histone modifications better nominate candidate enhancers with functional support than chromatin accessibility alone, while H3K27me3- and H3K9me3-marked chromatin states delineate distinct modes of cell-type-specific gene repression. Finally, this multimodal resource enables deep learning models that predict cell-type-specific epigenomic features and gene expression from DNA sequence, providing a comprehensive framework for annotating the brain regulatory genome and interpreting non-coding disease risk variants. HIGHLIGHTS - A single-cell epigenome atlas of transcription and four histone modifications across 2.5M mouse brain cells - Multimodal integration maps chromatin states across ∼81% of the adult mouse brain genome - Cell-type-resolved chromatin landscapes reveal regulatory programs mediated by enhancers, Polycomb and H3K9me3 - Deep learning models predict cell-type-specific epigenomic features and gene expression from DNA sequence

Fields of Study & Subjects

Genomics and Chromatin Dynamics Epigenetics and DNA Methylation Single-cell and spatial transcriptomics

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
7 February 2026
Language
EN
Document type
Preprint